Exploring Collaborative Writing Between Human and ChatGPT 3.5

Authors

  • Nur Atikah Batrisyia Azhar Language Academy, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Ghazali Bunari Language Academy, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/lspi.v12.25999

Keywords:

Artificial intelligence, ChatGPT 3.5, collaborative writing, human-AI collaboration, perception of AI writing

Abstract

This study explored the purpose of collaborative writing between humans and AI using ChatGPT 3.5. The study aimed to answer two primary research questions: (1) “How effective was AI as a co-writer in a creative collaborative writing endeavor?” and (2) “How did humans perceive AI ability as a co-writer in a creative collaborative writing endeavor?” This study employed a case study and exploratory research design to investigate the effectiveness of AI technology in the collaborative writing process and to understand humans’ perceptions of AI writing. The study utilized a combination of short-story evaluation from ten short stories and semi-structured interviews with three participants. The short stories were evaluated by two experienced evaluators to assess the quality of the writing, while the semi-structured interviews provided insights into the participants’ perceptions of AI writing. The study also included a literature review of previous studies related to collaborative writing, human-AI collaborative writing, and perceptions of AI writing to establish a foundation of knowledge in the field. The findings and discussion addressed the potential benefits and challenges of integrating AI technology into collaborative writing processes, including sampling bias, the implementation of data collection methods, and rapid advancements in technology. Findings suggested that while AI technology serves as an effective co-writer, human perception of its contributions varies. The report concluded with recommendations for future research and the contributions of the study to both individuals and this field of study. Overall, this study provided valuable insights into the potential of collaborative writing between humans and AI and its implications for the future of writing and technology.

References

Aljanabi, M., Yaseen, M. G., & Ali, A. H. (2023). ChatGPT: Open possibilities. College of Education – Aliraqia University. Retrieved from ResearchGate: https://www.researchgate.net/publication/367964719_ChatGpt_Open_Possibilities.

Anggraini, R., Rozimela, Y., & Anwar, D. (2020). The effects of collaborative writing on EFL learners’ writing skills and their perception of the strategy. Journal of Language Teaching and Research. Retrieved from https://www.semanticscholar.org/paper/The-Effects-of-Collaborative-Writing-on-EFL-Writing-Anggraini-Rozimela/d79ab43fb0c5fef85ba8e12c7013bcfc86475e66.

Biermann, O., Ma, N. F., & Yoon, D. (2022). From tool to companion: Story writers want AI writers to respect their personal values and writing strategies. In Designing Interactive Systems Conference. https://doi.org/10.1145/3532106.3533506.

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., & Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165. Retrieved from https://arxiv.org/abs/2005.14165.

Brundage, M. (2018). The malicious use of artificial intelligence: Forecasting, prevention, and mitigation. Princeton University. https://doi.org/OCLC1027094656.

Buschek, D., Zurn, M., & Eiband, M. (2021). The impact of multiple parallel phrase suggestions on email input and composition behavior of native and non-native English writers. ACM Transactions on Computer-Human Interaction.

Chen, W. (2019). An exploratory study on the role of L2 collaborative writing on learners’ subsequent individually composed texts. The Asia-Pacific Education Researcher. Retrieved from https://www.semanticscholar.org/paper/An-Exploratory-Study-on-the-Role-of-L2-Writing-on-Chen/949508521e3ae1e00ae187aa0c06a8d33f5340d0.

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., & Carter, L. (2023). Opinion paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642.

Inayah, R. (2019). The implementation of collaborative technique in teaching writing to enhance students’ skill in writing English text. Retrieved from https://www.semanticscholar.org/paper/The-Implementation-Of-Collaborative-Technique-In-To-Inayah/97b2ed9d18a6ae082d8afd27a06179dfcaa15d0d.

Iwata, Y. (2009). Creating suspense and surprise in short literary fiction: A stylistic and narratological approach. Retrieved from Academia.edu: https://www.academia.edu/26536182/Creating_Suspense_And_Surprise_In_Short_Literary_Fiction_A_Stylistic_And_Narratological_Approach.

Kannan, A., Kurach, K., Ravi, S., Kaufmann, T., Tomkins, A., Miklos, B., Corrado, G., Lukacs, L., Ganea, M., Young, P., & Ramavajjala, V. (2016). Smart reply: Automated response suggestion for email. Retrieved from https://arxiv.org/abs/1606.04870.

Kavanagh, B. (2022). Assessing AI-based summarizing and paraphrasing tools for a CLIL intercultural communication academic writing class. Intercultural Communication Studies, 31(2). Retrieved from https://www-s3-live.kent.edu/s3fs-root/s3fs-public/file/7-Kavanagh.pdf.

Li, F., Hao, J., & Zhang, M. (2022). AI language models in writing: Impact on creativity, productivity, and textual quality. Journal of Writing Research, 15(3), 289–308.

Marzuki, Widiati, U., Rusdin, D., Darwin, D., & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2). https://doi.org/10.1080/2331186X.2023.2236469.

Pham, V. P. H. (2021). The effects of collaborative writing on students’ writing fluency: An efficient framework for collaborative writing. SAGE Open. https://doi.org/10.1177/2158244021998363.

Schepman, A., & Rodway, P. (2020). Initial validation of the General Attitudes Towards Artificial Intelligence Scale. Computers in Human Behavior Reports, 1, 100014. https://doi.org/10.1016/j.chbr.2020.100014.

Smith, R. G., Winston, P. H., & Gödel, K. (2006). The AI business: Commercial uses of artificial intelligence. MIT Press.

Tai-Ming, W., & Xu, J. (2021). Person-to-person interactions in online classroom settings under the impact of COVID-19: A social presence theory perspective. Asia Pacific Education Review, 22(3), 371–383. https://doi.org/10.1007/s12564-021-09673-1.

Washington, J. (2023). The impact of generative artificial intelligence on writer’s self-efficacy: A critical literature review. Social Science Research Network. https://doi.org/10.2139/ssrn.4538043.

Woo, D. J., & Guo, K. (2023). Exploring an AI-supported approach to creative writing: Effects on secondary school students’ creativity. ResearchGate. Retrieved from https://www.researchgate.net/publication/369013951_Exploring_an_AIsupported_approach_to_creative_writing_Effects_on_secondary_school_students'_creativity

Yang, J., Li, S., & Wang, S. (2022). Exploring users' perceptions of AI’s role in collaborative writing. Journal of Language and Technology, 12(2), 89–105.

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Published

2025-11-30

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Section

Articles

How to Cite

Exploring Collaborative Writing Between Human and ChatGPT 3.5. (2025). LSP International Journal, 12(2), 91-99. https://doi.org/10.11113/lspi.v12.25999